ML Software Engineer L4/L5, AI for Member Systems job opportunity at Netflix Inc.

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Netflix Inc ML Software Engineer L4/L5, AI for Member Systems
Experience: General
Pattern: Remote
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Data & Insights

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degreeBachelor's (B.Sc.)
loacation United States Of America, United States Of America
loacation United States ..........United States Of America

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.As Netflix continues to grow, so do the opportunities to enhance our personalization systems and algorithms. We're looking for a passionate and talented Software Engineer for Machine Learning to join our Al for Member Systems team. In this role, you will apply your expertise in software engineering to design, develop, and scale solutions for the machine learning algorithms that power the Netflix experience. You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests. For more details about software engineering for personalization at Netflix, see these links:Consolidating ML modelsInTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation ModelsEvidence PersonalizationPage Simulation for Better Offline Metrics at NetflixRecSysOpsAs a software engineer in the team, you will contribute to the next generation of algorithms used to generate the Netflix experience by driving the vision, requirements, design, implementation, testing, and ownership of software components essential for our algorithmic innovation. You will collaborate with our applied researchers and data scientists to implement scalable, flexible, production-ready solutions for our algorithms. You will also guide the team towards better software engineering practices and systems by identifying areas for improvement and mentorship. You will collaborate with other engineers to create solutions that are used beyond our team. To excel in this role, you should have a robust software engineering background, a keen sense of software engineering principles and design, a proven experience with large-scale applications involving machine learning, a love of learning, possess strong communication skills, and the ability to work well in large cross-functional teams.What we are looking for:A degree in Computer Science or a related field4+ years of full time software engineering experience with a bachelor’s degree; or 2+ years of experience with a graduate degreeExcellent software design and development skills in Python along with Scala, Java, C++, or C#Solid understanding of various software engineering best practices and their appropriate applicationExperience building web-scale parallel and distributed computing systemsExperience with large-scale data frameworks such as Spark or FlinkExcellent collaboration skillsBroad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systemsPreferred, but not required:Experience building or enhancing personalization systems, machine learning platforms, search engines, or similar large-scale machine learning applications.Experience building machine learning models or LLMsExperience scaling and optimizing the training and serving of machine learning modelsExperience with machine learning libraries TensorFlow, PyTorch, JAX or KerasExperience with cloud computing platforms like AWSBackground in math, statistics, or numerical computationSignificant contributions to open-source projectsWhat we offer:Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefitshere.Note: Level and compensation are determined based on your demonstrated experience, skills, and interview performance. We have several open positions within the personalization, search,  and recommendations space. The specific role will be determined based on the candidate's skills and fit, which will be evaluated after the initial round.Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want anaccommodation/adjustmentfor a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversitybuilds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.

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